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Algorithms & Machine Learning
Tailor made algorithms and machine learning capabilities in the inspection process
Page last modified
April 11 2024
Because Cursor AM captures thousands of pictures, it creates a very valuable database. Every image is geotagged and stored in order to be used in future trend analysis. In regular inspection procedures, only the point of interests are being logged. Therefore it becomes impossible to back track significant events on a specific asset. Cursor AM enables the asset owners to easily access asset information of a specific area when no point of interest was flagged in previous inspections.
Pros & Limitations
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Easy selection of many pictures
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Easy implementation of massive data in your inspection process
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Algorithms don’t get tired
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Trend analyses
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Predictive Asset Management
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Highly detailed inspections without putting employees in dangerous situations
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Inspection method avoids ATEX zones
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Robotising inspection
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Not ATEX certified
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Reliant on external imageing resolution
Specification
Specification Title | Specification Description |
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Areas of Application
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Corrosion detection: metals, alkali-silica reaction | Cracks: concrete, steel/aluminium, wood, paint/coating | Leakage: gas, liquids | Solar panels: defects | Wood rot
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Certifications / licences
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In progress of certification ISO9001, ISO14001, ISO27001, VCA.
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Compatibility
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A variety of Unmanned Aerial Vehicles such as drones | Remote controlled boats, cars or sonar equipment
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Input
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Images gathered from Unmanned Vehicles.
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Output
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Corrosion detection | Crack detection | Leakage | Solar panels | Wood rot
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Storage
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Images stored in database. Usefull in root cause analysis.
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Reviews (1)
Technology Readiness Level
The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.
[9/9]
Development
Technology demonstration
Mature / Proven
Solution Deployed By

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Total Deployments
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Last Deployment Year